In your world view, places of higher education and places of advanced research are strongly coupled. This does not need to be the case. Historically some great research labs had nothing to do with education (Bell Labs). I think Thrun's prediction is that there were be great institutions of higher education that have nothing to do with research. I certainly agree with that point.
Of course, all disruptive innovation starts at the bottom of the market. I am sure the first big wins will be giving educational access to talented and bright but poor kids in the developing world. For them, even something like access to a first world university is far from affordable, and the fledgling online classes are much better than the alternative, even if they aren't yet competitive with traditional university education.
I took the online ml-class last semester, and I am now taking the pgm-class this semester. I have or am taking graduate versions of the same classes at a traditional university.
The big discovery (thanks to Sal Khan) is that teaching fundamentally scales. It's a big waste that all over the world, there are hundreds of smart researchers each teaching 10s to hundreds of students basically the same subject. What would be best is to get one great teacher for each of the subjects of those 100s researchers, make him focus really hard (10x the effort he would have put in, but 1/10 the total effort of all of the previous combined effort) to make a ridiculously good online class. Then you have freed up a bunch of time for the researchers, and most of the almost thousands to 10s of thousands of students are actually experiencing a better class.
I think you exemplify the more likely scenario, in my view, of the typical real, down and dirty use-cases for this stuff. That is people that are already undergraduates and graduate students using this as supplementary material either to their current classes or more probably extra-curricular.
Of course, all disruptive innovation starts at the bottom of the market. I am sure the first big wins will be giving educational access to talented and bright but poor kids in the developing world. For them, even something like access to a first world university is far from affordable, and the fledgling online classes are much better than the alternative, even if they aren't yet competitive with traditional university education.
I took the online ml-class last semester, and I am now taking the pgm-class this semester. I have or am taking graduate versions of the same classes at a traditional university.
The big discovery (thanks to Sal Khan) is that teaching fundamentally scales. It's a big waste that all over the world, there are hundreds of smart researchers each teaching 10s to hundreds of students basically the same subject. What would be best is to get one great teacher for each of the subjects of those 100s researchers, make him focus really hard (10x the effort he would have put in, but 1/10 the total effort of all of the previous combined effort) to make a ridiculously good online class. Then you have freed up a bunch of time for the researchers, and most of the almost thousands to 10s of thousands of students are actually experiencing a better class.